Mental health tracker app

Show simple item record

dc.contributor.author Qureshi, Rehaal
dc.contributor.author Siddiqui, Arbaaz Gaffar (19CO58)
dc.contributor.author Shaikh, Shahid Zakir Husen (17CO46)
dc.contributor.author Siddiki, Jasmin Nizam (18CO13)
dc.contributor.author Jamadar, Abdussamad (18CO25)
dc.date.accessioned 2023-06-06T09:42:02Z
dc.date.available 2023-06-06T09:42:02Z
dc.date.issued 2023-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/4105
dc.description.abstract Mental Health is a very important issue in today’s world . As in these days, a lot of people now working from home and even companies are preferring work from home, the mental health situation of the people has nose-dived to unbelievable levels. The main objective of the proposed project focuses on building an application that will try to collect the mental state of the user and provide close to accurate remedies – assigning tasks, connecting a doctor( or psychiatrist) etc. The application tries to find if an app user is suffering from any mental issue by asking a few psychological questions and then based on those answers, it suggests measures that the app users can believe to recover from their issue and all this happens based on how the user answers the questions. Based on the answers that the users provide, the application will suggest tasks to them. The application will also take timely updates from the user and will update the data to the dashboard Keywords: Anxiety, Depression, Android Application, Prediction, Sentiment Analysis, NLP, Machine Learning, Classification, Mental Health. en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.relation.ispartofseries PE0732;
dc.subject Project Report - CO en_US
dc.title Mental health tracker app en_US
dc.type Project Report en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account